why we didnt we follow the nrmal steps for NPP where i-0.5/n ? which brings to second question why did we add 1 although most videos chart NPP without adding 1 to the sample ? thank you so much . apologies if i am lost / confused
Hi, Great video! I really feel I am learning about how to check for normality! Question: What should we look for with kurtosis for checking for normality? Thanks.
I run a normality test if I am about to run a hypothesis test that needs it as an assumption. Also, if we have normality, then probability rules are clearer.
A mode of #N/A means you have all unique values so hence no mode. The good thing is that for checking normality you want to focus on the mean roughly equal to the median.
I am from Brazil, thanks for your class and congratulation for your skills.
Thank you for a FANTASTIC video!
Thanks so much for this video, Joe. I hope you make new videos soon. God bless! :)
can we get your notes around 18:59 time stamp when you reviewed?
Thank you, this was super helpful!
This was amazing! Thank you Joe
why we didnt we follow the nrmal steps for NPP where i-0.5/n ? which brings to second question why did we add 1 although most videos chart NPP without adding 1 to the sample ? thank you so much . apologies if i am lost / confused
Hello Joe, Thanks for such useful videos in your channel. Please upload a video on constructing a QQ plot for weibull and gumbel distribution.
Thanks for the video. It is pretty sad excel does not have an Anderson-Darling test for normality built in. I’m a retired guy and miss Minitab.
Agreed. It would be nice for more advanced functionality but that is why we teach R Studio once we get past a first course in statistics.
19:16 So they “have a really good chance to be normal”, but that doesn’t mean that we have proven that the distribution is normal, correct?
Correct.
Thanks, AWESOME tutorial.
Hi,
Great video! I really feel I am learning about how to check for normality!
Question: What should we look for with kurtosis for checking for normality?
Thanks.
My doubt is that do we have to check normality for every question in the questionnaire or it is overall data.
So if your mean is somehow equal or roughly equal to the mean, then it’s a normal distribution right?
you saved me. thank you!
EXECLLENT! Thank you
At what stage shoud we run a normality test ?
I run a normality test if I am about to run a hypothesis test that needs it as an assumption. Also, if we have normality, then probability rules are clearer.
Hi Joe, My Mode: is # N/A however all my cells have values
A mode of #N/A means you have all unique values so hence no mode. The good thing is that for checking normality you want to focus on the mean roughly equal to the median.
Thank you Sir
ty dude